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UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
ISSN
03029743
Date Issued
2020-01-01
Author(s)
Zhou, Yuqian
Kwan, Michael
Tolentino, Kyle
Emerton, Neil
Lim, Sehoon
Large, Tim
Fu, Lijiang
Pan, Zhihong
Li, Baopu
Yang, Qirui
Liu, Yihao
Tang, Jigang
Ku, Tao
Ma, Shibin
Hu, Bingnan
Wang, Jiarong
Puthussery, Densen
Hrishikesh, P. S.
Kuriakose, Melvin
Jiji, C. V.
Sundar, Varun
Hegde, Sumanth
Kothandaraman, Divya
Mitra, Kaushik
Jassal, Akashdeep
Shah, Nisarg A.
Nathan, Sabari
Rahel, Nagat Abdalla Esiad
Chen, Dafan
Nie, Shichao
Yin, Shuting
Ma, Chengconghui
Wang, Haoran
Zhao, Tongtong
Zhao, Shanshan
Rego, Joshua
Chen, Huaijin
Li, Shuai
Hu, Zhenhua
Lau, Kin Wai
Po, Lai Man
Yu, Dahai
Rehman, Yasar Abbas Ur
Li, Yiqun
Xing, Lianping
DOI
10.1007/978-3-030-68238-5_26
Abstract
This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-collected database of Under-Display Camera. The challenge tracks correspond to two types of display: a 4k Transparent OLED (T-OLED) and a phone Pentile OLED (P-OLED). Along with about 150 teams registered the challenge, eight and nine teams submitted the results during the testing phase for each track. The results in the paper are state-of-the-art restoration performance of Under-Display Camera Restoration. Datasets and paper are available at https://yzhouas.github.io/projects/UDC/udc.html.